Semisynthetic simulation for microbiome data analysis DOI Creative Commons
Kris Sankaran, Saritha Kodikara, Jingyi Jessica Li

et al.

Briefings in Bioinformatics, Journal Year: 2024, Volume and Issue: 26(1)

Published: Nov. 22, 2024

Abstract High-throughput sequencing data lie at the heart of modern microbiome research. Effective analysis these requires careful preprocessing, modeling, and interpretation to detect subtle signals avoid spurious associations. In this review, we discuss how simulation can serve as a sandbox test candidate approaches, creating setting that mimics real while providing ground truth. This is particularly valuable for power analysis, methods benchmarking, reliability analysis. We explain probability, multivariate regression concepts behind simulators different implementations make trade-offs between generality, faithfulness, controllability. Recognizing all only approximate reality, review evaluate accurately they reflect key properties. also present case studies demonstrating value in differential abundance testing, dimensionality reduction, network integration. Code examples available an online tutorial (https://go.wisc.edu/8994yz) be easily adapted new problem settings.

Language: Английский

An extensive review on infectious disease diagnosis using machine learning techniques and next generation sequencing: State-of-the-art and perspectives DOI

Javed Aalam,

Syed Naseer Ahmad Shah,

Rafat Parveen

et al.

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 189, P. 109962 - 109962

Published: March 6, 2025

Language: Английский

Citations

1

Metagenomic approaches and opportunities in arid soil research DOI
Muhammad Ejaz, Kareem Rady Badr, Zahoor Ul Hassan

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 953, P. 176173 - 176173

Published: Sept. 10, 2024

Language: Английский

Citations

5

Predicting coarse-grained representations of biogeochemical cycles from metabarcoding data DOI Creative Commons
Arnaud Belcour,

Loris Megy,

Sylvain Stéphant

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Abstract Motivation Taxonomic analysis of environmental microbial communities is now routinely performed thanks to advances in DNA sequencing. Determining the role these global biogeochemical cycles requires identification their metabolic functions, such as hydrogen oxidation, sulfur reduction, and carbon fixation. These functions can be directly inferred from metagenomics data, but many applications metabarcoding still method choice. The reconstruction data integration into coarse-grained representations geobiochemical remains a difficult bioinformatics problem today. Results We developed pipeline, called Tabigecy, which exploits taxonomic affiliations predict constituting cycles. In first step, Tabigecy uses tool EsMeCaTa consensus proteomes input affiliations. To optimise this process, we generated precomputed database containing information about 2,404 taxa UniProt. are searched using bigecyhmm, newly Python package relying on Hidden Markov Models identify key enzymes involved function then projected representation applied two salt cavern datasets validated its predictions with activity hydrochemistry measurements samples. results highlight utility approach investigate impact processes.

Language: Английский

Citations

0

Microbial influencers: the airway microbiome’s role in asthma DOI Creative Commons
Young Jin Kim, Supinda Bunyavanich

Journal of Clinical Investigation, Journal Year: 2025, Volume and Issue: 135(4)

Published: Feb. 16, 2025

Asthma is a common chronic respiratory disease affecting people of all ages globally. The airway hosts diverse microbial communities increasingly recognized as influential in the development and course asthma. Here, we review recent findings on microbiome As relationships between health take root early life, first provide an overview early-life asthma development, where multiple cohort studies have identified bacterial genera infant associated with risk future wheeze We then address current understandings interactions environmental factors, microbiome, asthma, including effects rural/urban environments, pet ownership, smoking, viral illness, antibiotics. Next, delve into what has been observed about phenotypes endotypes, microbiota control, severity, obesity-related treatment well type 2 high, low, more newly described multi-omic endotypes. discuss emerging approaches to shape for therapy conclude Review perspectives research directions.

Language: Английский

Citations

0

Arbuscular Mycorrhizal Fungi DOI
Fatima-Zahra Akensous

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 209 - 236

Published: March 14, 2025

Arbuscular mycorrhizal fungi (AMFs) are behind the crucial symbiosis that occurs within over 80% of root systems vascular plants, reputed for their potentialities regarding plant, soil, and conjecture with existing microbiome. Researchers inclined toward studying AMFs in occurrence environment currently embracing investigation at holobiont level sphere natural habitat. Hence, present book division looks how metagenomics can provide important information this respect. With a keen interest microbial communities retrieved from environment, relying on advanced sequencing techniques, investigate composition diversity close-up lens. In fungal verse, circadian rhythm, pioneeringly explored Sordariales (Neurospora), is slowly but steadily being investigated Glomerales (Rhizoglomus), providing genetic molecular discernments worth spotlighting into bargain.

Language: Английский

Citations

0

Nanopore Environmental Analysis DOI Creative Commons
Xiaofeng Lu, Xiaoyu Du, Dong Zhong

et al.

JACS Au, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

As global pollution continues to escalate, timely and accurate monitoring is essential for guiding governance safeguarding public health. The increasing diversity of pollutants across environmental matrices poses a significant challenge instrumental analysis methods, which often require labor-intensive time-consuming sample pretreatment. Nanopore technology, an emerging single-molecule technique, presents promising solution by enabling the rapid identification multiple targets within complex mixtures with minimal preparation. A wide range have been characterized using natural biological nanopores or artificial solid-state nanopores, their distinct advantages include simple preparation, high sensitivity, onsite analysis. In particular, long-read nanopore sequencing has led dramatic improvements in analyses microbial communities, allows species-level taxonomic assignment amplicon sequencing, simplifies assembly metagenomes. this Perspective, we review latest advancements analyzing chemical through sensing techniques. We also explore challenges that remain rapidly evolving field provide outlook on potential transform monitoring, risk assessment, health protection.

Language: Английский

Citations

0

Impact of Soil Microbiomes on Mung Bean Cultivation: Insights from 16S rRNA Metagenomics DOI

Karuppasamy Saveetha,

Chaitanya Sree Somala,

Thirunavukarasou Anand

et al.

Molecular Biotechnology, Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

Language: Английский

Citations

0

A blueprint for contemporary studies of microbiomes DOI Creative Commons
Laure B. Bindels, Joy E. M. Watts, Kevin R. Theis

et al.

Microbiome, Journal Year: 2025, Volume and Issue: 13(1)

Published: April 8, 2025

This editorial piece co-authored by the Senior Editors at Microbiome aims to highlight current challenges in field of environmental and host-associated microbiome research. We also take opportunity clarify our expectations for articles submitted journal. At Microbiome, we are seeking studies that provide either new mechanistic insights into role microbiomes health systems or substantial conceptual technical advances. Manuscripts need meet high standards language accuracy, quality analyses, data protocol availability, including detailed reporting wet-lab silico protocols, all which can critically enhance transparency reproducibility. think such efforts essential push boundaries knowledge on a concerted, international effort.

Language: Английский

Citations

0

The cancer microbiome DOI
Huapeng Li,

Anne A. Leaman,

Qingfei Zheng

et al.

Advances in clinical chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0

Metagenomic Analysis of Raw Milk and the Inactivation of Foodborne Pathogens Using Ultraviolet-C DOI Creative Commons
Jisu Lee,

Hyeonjun Moon,

Hye‐Rim Park

et al.

Foods, Journal Year: 2025, Volume and Issue: 14(8), P. 1414 - 1414

Published: April 19, 2025

The purpose of this study was to identify the microbial community raw milk samples before and after UV-C irradiation establish fundamental data on treatment improve safety shelf life milk. Metagenomic analysis revealed that Lactococcus spp., Lactobacillus Staphylococcus spp. were dominant genera in milk, while Pseudomonas became more prevalent 14 days refrigerated storage. microorganisms isolated using selective media identified as Serratia quinivorans 4364 Latilactobacillus curvatus DSM 20019. To compare UV resistance these microorganisms, aeruginosa, aureus, lactis, inoculated into sterilized subjected treatment. reduction rates P. aeruginosa significantly lower than those other strains (S. L. curvatus). These findings provide insights distribution degree treatment, which can serve for pasteurization

Language: Английский

Citations

0